Seewoo Lee
Seewoo Lee
Department of Mathematics, UC Berkeley
Verified email at - Homepage
Cited by
Cited by
EdNet: A Large-Scale Hierarchical Dataset in Education
Y Choi, Y Lee, D Shin, J Cho, S Park, S Lee, J Baek, C Bae, B Kim, J Heo
International Conference on Artificial Intelligence in Education, 69-73, 2020
SAINT+: Integrating Temporal Features for EdNet Correctness Prediction
D Shin, Y Shim, H Yu, S Lee, B Kim, Y Choi
LAK21: 11th International Learning Analytics and Knowledge Conference, 490-496, 2021
Assessment modeling: fundamental pre-training tasks for interactive educational systems
Y Choi, Y Lee, J Cho, J Baek, D Shin, H Yu, Y Shim, S Lee, J Shin, C Bae, ...
arXiv preprint arXiv:2002.05505, 2020
Toy Teichmüller spaces of real dimension 2: the pentagon and the punctured triangle
Y Chen, R Chernov, M Flores, M Fortier Bourque, S Lee, B Yang
Geometriae Dedicata 197 (1), 193-227, 2018
Quantum modular forms and Hecke operators
S Lee
Research in Number Theory 4 (2), 1-13, 2018
Consistency and Monotonicity Regularization for Neural Knowledge Tracing
S Lee, Y Choi, J Park, B Kim, J Shin
arXiv preprint arXiv:2105.00607, 2021
Apportionment of liability by the stochastic Shapley value
JY Kim, S Lee
International Review of Law and Economics 60, 105860, 2019
Non-Archimedean Sendov’s Conjecture
D Choi, S Lee
p-Adic Numbers, Ultrametric Analysis and Applications 14 (1), 77-80, 2022
Recommendation for Effective Standardized Exam Preparation
H Loh, D Shin, S Lee, J Baek, C Hwang, Y Lee, Y Cha, S Kwon, J Park, ...
LAK21: 11th International Learning Analytics and Knowledge Conference, 397-404, 2021
Maass wave forms, quantum modular forms and Hecke operators
S Lee
Research in the Mathematical Sciences 6 (1), 1-18, 2019
Behavioral Testing of Deep Neural Network Knowledge Tracing Models
M Kim, Y Shim, S Lee, H Loh, J Park
Tracing Knowledge for Tracing Dropouts: Multi-Task Training for Study Session Dropout Prediction
S Lee, KS Kim, J Shin, J Park
The system can't perform the operation now. Try again later.
Articles 1–12